DocumentCode
749927
Title
Computational feasibility of structured matching
Author
Goel, Ashok ; Bylander, Tom
Author_Institution
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
Volume
11
Issue
12
fYear
1989
fDate
12/1/1989 12:00:00 AM
Firstpage
1312
Lastpage
1316
Abstract
Structured matching is a task-specific technique for selecting one choice out of a small number of alternatives based on a given set of parameters. In structured matching, the knowledge and control for making a decision are integrated within a hierarchical structure. Each node in the hierarchy corresponds to a different aspect of the decision and contains knowledge for directly mapping the results of its children nodes (or selected parameters) into a choice on the subdecision. The root node selects the final choice for the decision. The authors formally characterize the task and strategy of structured matching and analyze its computational complexity. They believe that structured matching captures the essence of what makes a range of decision-making problems computationally feasible to solve
Keywords
computational complexity; knowledge engineering; pattern recognition; computational complexity; decision-making problems; hierarchical structure; knowledge engineering; pattern recognition; structured matching; Artificial intelligence; Blood; Computational complexity; Decision making; Heart; Information science; Knowledge based systems; Laboratories; Lungs; Military computing;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.41369
Filename
41369
Link To Document